In view of the problems such as the overall low utilization rate of resources, the insufficient level of industry informatization, the prominent problem of repeated construction, and the insufficient level of innovation in the manufacturing process design of fully mechanized coal mining equipment, the integration and scheduling method of intelligent cloud manufacturing resources for fully mechanized coal mining equipment was studied. First, the necessity and importance of building intelligent cloud manufacturing resources integration and scheduling systems for fully mechanized mining equipment under the current situation were analyzed. Then, based on the underlying services of cloud computing and intelligent cloud manufacturing, the overall architecture of intelligent cloud manufacturing resources integration and scheduling systems for fully mechanized coal mining equipment was proposed, and the intelligent cloud manufacturing resources integration platform suitable for general and special technical services was designed. Then, a could scheduling method based on an adaptive genetic algorithm was proposed to realize the scheduling of cloud manufacturing resources. Finally, the practicability and operability of the system were verified by the cases. This study has realized the integration and sharing of resources, such as the design, calculation, data, simulation, and servicing of fully mechanized coal mining equipment under the intelligent cloud manufacturing environment.

About 1260 papers from 11 countries and regions were submitted to the conference, and 610 of them were selected for presentation and publication. These selected papers span a wide range of information, computing and telecommunication technologies from theory to applications. Signal processing and electronics engineering are very hot and important research topics, and more and more attentions have been attracted on it in recent years. So, we have selected 7 from the 610 research papers on signal processing and electronics engineering to form this special issue. The quality of the selected papers was very high. The authors of the 7 selected papers promised that the papers were original work. "Research on Robust Control of Gas Tungsten ArcWelding System with the LMI Approach", by Junfeng Wu, proposes robust control and robust optimal control for sampled-data systems with structured uncertainty.